Development and Genome Sequencing of a Laboratory-Inbred Miniature Pig Facilitates Study of Human Diabetic Disease
Pig has been proved to be a valuable large animal model used for research on diabetic disease. However, their translational value is limited given their distinct anatomy and physiology. For the last 30 years, we have been developing a laboratory Asian miniature pig inbred line (Bama miniature pig [B...
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Published in | iScience Vol. 19; pp. 162 - 176 |
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Main Authors | , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
27.09.2019
Elsevier |
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Online Access | Get full text |
ISSN | 2589-0042 2589-0042 |
DOI | 10.1016/j.isci.2019.07.025 |
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Abstract | Pig has been proved to be a valuable large animal model used for research on diabetic disease. However, their translational value is limited given their distinct anatomy and physiology. For the last 30 years, we have been developing a laboratory Asian miniature pig inbred line (Bama miniature pig [BM]) from the primitive Bama xiang pig via long-term selective inbreeding. Here, we assembled a BM reference genome at full chromosome-scale resolution with a total length of 2.49 Gb. Comparative and evolutionary genomic analyses identified numerous variations between the BM and commercial pig (Duroc), particularly those in the genetic loci associated with the features advantageous to diabetes studies. Resequencing analyses revealed many differentiated gene loci associated with inbreeding and other selective forces. These together with transcriptome analyses of diabetic pig models provide a comprehensive genetic basis for resistance to diabetogenic environment, especially related to energy metabolism.
[Display omitted]
•Bama miniature pig (BM) is one of the pig lines with the highest inbreeding coefficient•This atlas is a report on the chromosome-level genome assembly of miniature pig•Genomic analyses revealed genetic basis underlying BM's advantages to study diabetes•Some lncRNAs and mRNAs may be linked to resistance to diabetogenic environment
Biological Sciences; Gene Ontology; Genomic Analysis; Genomics; Omics; Sequence Analysis; Transcriptomics |
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AbstractList | Pig has been proved to be a valuable large animal model used for research on diabetic disease. However, their translational value is limited given their distinct anatomy and physiology. For the last 30 years, we have been developing a laboratory Asian miniature pig inbred line (Bama miniature pig [BM]) from the primitive Bama xiang pig via long-term selective inbreeding. Here, we assembled a BM reference genome at full chromosome-scale resolution with a total length of 2.49 Gb. Comparative and evolutionary genomic analyses identified numerous variations between the BM and commercial pig (Duroc), particularly those in the genetic loci associated with the features advantageous to diabetes studies. Resequencing analyses revealed many differentiated gene loci associated with inbreeding and other selective forces. These together with transcriptome analyses of diabetic pig models provide a comprehensive genetic basis for resistance to diabetogenic environment, especially related to energy metabolism. Pig has been proved to be a valuable large animal model used for research on diabetic disease. However, their translational value is limited given their distinct anatomy and physiology. For the last 30 years, we have been developing a laboratory Asian miniature pig inbred line (Bama miniature pig [BM]) from the primitive Bama xiang pig via long-term selective inbreeding. Here, we assembled a BM reference genome at full chromosome-scale resolution with a total length of 2.49 Gb. Comparative and evolutionary genomic analyses identified numerous variations between the BM and commercial pig (Duroc), particularly those in the genetic loci associated with the features advantageous to diabetes studies. Resequencing analyses revealed many differentiated gene loci associated with inbreeding and other selective forces. These together with transcriptome analyses of diabetic pig models provide a comprehensive genetic basis for resistance to diabetogenic environment, especially related to energy metabolism.Pig has been proved to be a valuable large animal model used for research on diabetic disease. However, their translational value is limited given their distinct anatomy and physiology. For the last 30 years, we have been developing a laboratory Asian miniature pig inbred line (Bama miniature pig [BM]) from the primitive Bama xiang pig via long-term selective inbreeding. Here, we assembled a BM reference genome at full chromosome-scale resolution with a total length of 2.49 Gb. Comparative and evolutionary genomic analyses identified numerous variations between the BM and commercial pig (Duroc), particularly those in the genetic loci associated with the features advantageous to diabetes studies. Resequencing analyses revealed many differentiated gene loci associated with inbreeding and other selective forces. These together with transcriptome analyses of diabetic pig models provide a comprehensive genetic basis for resistance to diabetogenic environment, especially related to energy metabolism. Pig has been proved to be a valuable large animal model used for research on diabetic disease. However, their translational value is limited given their distinct anatomy and physiology. For the last 30 years, we have been developing a laboratory Asian miniature pig inbred line (Bama miniature pig [BM]) from the primitive Bama xiang pig via long-term selective inbreeding. Here, we assembled a BM reference genome at full chromosome-scale resolution with a total length of 2.49 Gb. Comparative and evolutionary genomic analyses identified numerous variations between the BM and commercial pig (Duroc), particularly those in the genetic loci associated with the features advantageous to diabetes studies. Resequencing analyses revealed many differentiated gene loci associated with inbreeding and other selective forces. These together with transcriptome analyses of diabetic pig models provide a comprehensive genetic basis for resistance to diabetogenic environment, especially related to energy metabolism. : Biological Sciences; Gene Ontology; Genomic Analysis; Genomics; Omics; Sequence Analysis; Transcriptomics Subject Areas: Biological Sciences, Gene Ontology, Genomic Analysis, Genomics, Omics, Sequence Analysis, Transcriptomics Pig has been proved to be a valuable large animal model used for research on diabetic disease. However, their translational value is limited given their distinct anatomy and physiology. For the last 30 years, we have been developing a laboratory Asian miniature pig inbred line (Bama miniature pig [BM]) from the primitive Bama xiang pig via long-term selective inbreeding. Here, we assembled a BM reference genome at full chromosome-scale resolution with a total length of 2.49 Gb. Comparative and evolutionary genomic analyses identified numerous variations between the BM and commercial pig (Duroc), particularly those in the genetic loci associated with the features advantageous to diabetes studies. Resequencing analyses revealed many differentiated gene loci associated with inbreeding and other selective forces. These together with transcriptome analyses of diabetic pig models provide a comprehensive genetic basis for resistance to diabetogenic environment, especially related to energy metabolism. [Display omitted] •Bama miniature pig (BM) is one of the pig lines with the highest inbreeding coefficient•This atlas is a report on the chromosome-level genome assembly of miniature pig•Genomic analyses revealed genetic basis underlying BM's advantages to study diabetes•Some lncRNAs and mRNAs may be linked to resistance to diabetogenic environment Biological Sciences; Gene Ontology; Genomic Analysis; Genomics; Omics; Sequence Analysis; Transcriptomics Pig has been proved to be a valuable large animal model used for research on diabetic disease. However, their translational value is limited given their distinct anatomy and physiology. For the last 30 years, we have been developing a laboratory Asian miniature pig inbred line (Bama miniature pig [BM]) from the primitive Bama xiang pig via long-term selective inbreeding. Here, we assembled a BM reference genome at full chromosome-scale resolution with a total length of 2.49 Gb. Comparative and evolutionary genomic analyses identified numerous variations between the BM and commercial pig (Duroc), particularly those in the genetic loci associated with the features advantageous to diabetes studies. Resequencing analyses revealed many differentiated gene loci associated with inbreeding and other selective forces. These together with transcriptome analyses of diabetic pig models provide a comprehensive genetic basis for resistance to diabetogenic environment, especially related to energy metabolism. • Bama miniature pig (BM) is one of the pig lines with the highest inbreeding coefficient • This atlas is a report on the chromosome-level genome assembly of miniature pig • Genomic analyses revealed genetic basis underlying BM's advantages to study diabetes • Some lncRNAs and mRNAs may be linked to resistance to diabetogenic environment Biological Sciences; Gene Ontology; Genomic Analysis; Genomics; Omics; Sequence Analysis; Transcriptomics |
Author | Wang, Shuo Fei, Ji-Feng Li, Zhe Zhang, Li Si, Jinglei Li, Ruiqiang Wang, Meng Yang, Xiurong Shi, Chao Li, Kui Wu, Yanjun Zhang, Qunjie Qi, Wenjing Zhu, Siran Liang, Jing Lan, Ganqiu Huang, Yuemeng Guo, Yafen Wang, Lixian Tang, Zhonglin |
AuthorAffiliation | 8 Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China 9 Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou 510631, China 2 College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China 6 Research Centre for Animal Genome, Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China 1 College of Animal Science and Technology, Guangxi University, Nanning 530004, China 7 Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China 3 Novogene Bioinformatics Institute, Beijing 100083, China 4 Shandong Provincial Key Laboratory of Biochemical Engineering, College of Marine Science and Biological Engineering, Qingdao University of Science and Technology, Qingdao 266042, China 5 Institution of Genomics and Bioinformatics, South China Agricultural Univers |
AuthorAffiliation_xml | – name: 1 College of Animal Science and Technology, Guangxi University, Nanning 530004, China – name: 5 Institution of Genomics and Bioinformatics, South China Agricultural University, Guangzhou 510642, China – name: 8 Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China – name: 2 College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China – name: 7 Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China – name: 3 Novogene Bioinformatics Institute, Beijing 100083, China – name: 4 Shandong Provincial Key Laboratory of Biochemical Engineering, College of Marine Science and Biological Engineering, Qingdao University of Science and Technology, Qingdao 266042, China – name: 6 Research Centre for Animal Genome, Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China – name: 9 Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou 510631, China |
Author_xml | – sequence: 1 givenname: Li surname: Zhang fullname: Zhang, Li organization: College of Animal Science and Technology, Guangxi University, Nanning 530004, China – sequence: 2 givenname: Yuemeng surname: Huang fullname: Huang, Yuemeng organization: College of Animal Science and Technology, Guangxi University, Nanning 530004, China – sequence: 3 givenname: Meng surname: Wang fullname: Wang, Meng organization: Novogene Bioinformatics Institute, Beijing 100083, China – sequence: 4 givenname: Yafen surname: Guo fullname: Guo, Yafen organization: College of Animal Science and Technology, Guangxi University, Nanning 530004, China – sequence: 5 givenname: Jing surname: Liang fullname: Liang, Jing email: liangjing@gxu.edu.cn organization: College of Animal Science and Technology, Guangxi University, Nanning 530004, China – sequence: 6 givenname: Xiurong surname: Yang fullname: Yang, Xiurong organization: College of Animal Science and Technology, Guangxi University, Nanning 530004, China – sequence: 7 givenname: Wenjing surname: Qi fullname: Qi, Wenjing organization: College of Animal Science and Technology, Guangxi University, Nanning 530004, China – sequence: 8 givenname: Yanjun surname: Wu fullname: Wu, Yanjun organization: College of Animal Science and Technology, Guangxi University, Nanning 530004, China – sequence: 9 givenname: Jinglei surname: Si fullname: Si, Jinglei organization: College of Animal Science and Technology, Guangxi University, Nanning 530004, China – sequence: 10 givenname: Siran surname: Zhu fullname: Zhu, Siran organization: College of Animal Science and Technology, Guangxi University, Nanning 530004, China – sequence: 11 givenname: Zhe surname: Li fullname: Li, Zhe organization: Novogene Bioinformatics Institute, Beijing 100083, China – sequence: 12 givenname: Ruiqiang surname: Li fullname: Li, Ruiqiang organization: Novogene Bioinformatics Institute, Beijing 100083, China – sequence: 13 givenname: Chao surname: Shi fullname: Shi, Chao email: chaoshi@qust.edu.cn organization: Shandong Provincial Key Laboratory of Biochemical Engineering, College of Marine Science and Biological Engineering, Qingdao University of Science and Technology, Qingdao 266042, China – sequence: 14 givenname: Shuo surname: Wang fullname: Wang, Shuo organization: Shandong Provincial Key Laboratory of Biochemical Engineering, College of Marine Science and Biological Engineering, Qingdao University of Science and Technology, Qingdao 266042, China – sequence: 15 givenname: Qunjie surname: Zhang fullname: Zhang, Qunjie organization: Institution of Genomics and Bioinformatics, South China Agricultural University, Guangzhou 510642, China – sequence: 16 givenname: Zhonglin surname: Tang fullname: Tang, Zhonglin organization: Research Centre for Animal Genome, Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China – sequence: 17 givenname: Lixian surname: Wang fullname: Wang, Lixian organization: Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China – sequence: 18 givenname: Kui surname: Li fullname: Li, Kui organization: Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China – sequence: 19 givenname: Ji-Feng surname: Fei fullname: Fei, Ji-Feng organization: Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou 510631, China – sequence: 20 givenname: Ganqiu surname: Lan fullname: Lan, Ganqiu email: gqlan@gxu.edu.cn organization: College of Animal Science and Technology, Guangxi University, Nanning 530004, China |
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Keywords | Biological Sciences Genomic Analysis Transcriptomics Genomics Omics Sequence Analysis Gene Ontology |
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Title | Development and Genome Sequencing of a Laboratory-Inbred Miniature Pig Facilitates Study of Human Diabetic Disease |
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